About the company
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence.
Responsibilities
- Own the sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won.
- Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions and measurable business outcomes.
- Deliver engaging product demos, technical presentations, and solution workshops that connect platform capabilities to customer outcomes for diverse stakeholder audiences including executives.
- Full ownership of the technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining competitive success criteria, building a project plan with clear timelines, and holding all participants accountable to the process.
- Identify, develop, and leverage technical champions across multi-stakeholder environments, building a structured plan for champion cultivation and influence throughout the deal cycle.
- Contribute to product direction through active participation in structured product and engineering field feedback sessions, bringing field insights and customer patterns to PM and engineering teams.
- Drive operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems.
- Identify and proactively resolve technical and organizational blockers by collaborating across Product, Support, and GTM teams before customers are impacted.
- Contribute to team enablement by mentoring peers, sharing best practices, and creating reusable assets that scale knowledge across the region.
Requirements
- 7+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role within an enterprise environment.
- Skilled at influencing and adapting communication across technical, business, and executive audiences.
- Advanced background in public cloud (AWS, Azure, GCP), Kubernetes, APM/tracing, security, developer experience, observability.
- Strong communication skills, with the ability to explain technical concepts to a range of audiences.
- A consultative, outcome-oriented approach to problem-solving and customer engagement.
- Demonstrated ability to manage multiple opportunities and priorities in a fast-paced environment.
- Experience mentoring peers or contributing to team enablement initiatives.
- Demonstrated capability of utilizing AI tooling and scaling it.
- Growth mindset of embracing change and being curious.
- Willingness to travel as needed to support customer engagements.
Conditions
- Best-in-breed onboarding.
- Generous global benefits.
- Intra-departmental mentor and buddy program for in-house networking.
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP).
- Continuous professional development, product training, and career pathing.
- An inclusive company culture, able to join our Community Guilds and Inclusion Talks.
- Competitive salary and equity package, and may include variable compensation.
- Healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.